Security Scan Report: cortlandny.gov

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Submitted: Nov 27, 2025, 1:17:05 PMCompleted: Nov 27, 2025, 1:22:16 PMpubliccompleted
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Summary

This website contacted 41 IPs in 0 countries across 10 domains to perform 79 HTTP transactions. The main domain is cortlandny.gov.

Submitted URL: https://cortlandny.gov/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Cortland, NY | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'cortlandny.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The core label 'cortlandny' covers 10 characters containing 2 vowels alongside 8 consonants. Word splitting yields three words: cort, land, ny. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cortlandny.gov/

Page Load Overview

2.30s
Total Load Time
79
HTTP Requests
10
Domains
3.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:4,584 chars
Detector Agreement:75%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
53207.38.72.70UnknownUnknown
39142.250.181.234UnknownUnknown
11142.250.186.99UnknownUnknown
3142.250.186.67UnknownUnknown
3216.58.206.42UnknownUnknown
2142.250.185.170UnknownUnknown
2216.239.34.36UnknownUnknown
2172.217.18.8UnknownUnknown
1142.250.184.195UnknownUnknown
1216.239.32.36UnknownUnknown
7941--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0C33A906A586837505B30C8E1BB661498B9C371D3074CAAFDBCA3F09BE9CF8D1B7159

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jZZPcA4CA1+9kA3uZVmcAvqYGeOcW2mxmu+1mwM8dK97z5BWY11V9gfBv7aIg:jw+5l+ZXZ5BWY11V6v7c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:119640:LEVLI1AMUsIBAQGQRVAmwVJAWMYSGNEQAlpdQAURs9MghEpDIYEuJiTBXQPwZlGCtClKBFABRFwagkYgOaTkAwACIJsARJAl

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffffff03010101
Perceptual Hash:a8d74a2533cbcd34
Difference Hash:200c4d4f8ff7a3ab
Wavelet Hash:feffffff00010000
Color Hash:#c2d279

Scan History

Scan history not available

Unable to load historical scan data